Predictors for wellbeing and characteristics of mental health after stroke

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

DOI

Background: Poor mental health after stroke is common and complex. We aimed to identify predictors of poor wellbeing and to examine the overlap of poor wellbeing, fatigue, and depression. Method: Consecutive first-ever ischemic stroke-patients filled in questionnaires on wellbeing, fatigue, and depression at baseline and at one and six months. The World Health Organization 5-Item Wellbeing-Index (WHO-5), the Major Depression Inventory, and the Multidimensional Fatigue Inventory were used. Patients were genotyped according to serotonin-transporter gene polymorphisms. Multivariable logistic regression was used to identify potential predictors of poor wellbeing (WHO-5 score <50). Overlap between wellbeing, fatigue, and depression was examined using an Euler diagram. Results: We included 919 patients. The prevalence of poor wellbeing was 279 (30.4%) six months after stroke. Living alone at stroke onset was the strongest predictor of poor wellbeing with a mutually adjusted odds ratio of 1.53 (95% confidence interval (CI): 1.03 to 2.28) at one month and 1.77 (CI: 1.13 to 2.76) at six months. Severe stroke at admission also predicted poor wellbeing at six months. Abnormal fatigue occurred in half and incorporated almost all patients with poor wellbeing. Less than 5% fulfilled the criteria for depression at any point and almost all of these patients had poor wellbeing and abnormal fatigue. Antidepressants were used by 292 (31.8%) during follow-up. Limitations: Cognitive impairment was not measured and could interact with wellbeing post-stroke. Conclusion: Living alone strongly predicted poor wellbeing after stroke. Satisfactory mental health-recovery seems to require psychosocial interventions when indicated in combination with antidepressant treatment.

OriginalsprogEngelsk
TidsskriftJournal of Affective Disorders
Vol/bind264
Sider (fra-til)358-364
Antal sider7
ISSN0165-0327
DOI
StatusUdgivet - mar. 2020

Se relationer på Aarhus Universitet Citationsformater

ID: 178832178